Protected-Area Monitoring Dilemmas: a New Tool to Assess Success
dc.contributor.author | Walker, Kendra L. | en_US |
dc.date.accessioned | 2010-06-01T20:40:36Z | |
dc.date.available | 2010-06-01T20:40:36Z | |
dc.date.issued | 2009-10 | en_US |
dc.identifier.citation | WALKER, KENDRA L. (2009). "Protected-Area Monitoring Dilemmas: a New Tool to Assess Success." Conservation Biology 23(5): 1294-1303. <http://hdl.handle.net/2027.42/73781> | en_US |
dc.identifier.issn | 0888-8892 | en_US |
dc.identifier.issn | 1523-1739 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/73781 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=19765040&dopt=citation | en_US |
dc.description.abstract | Understanding factors that influence the success of protected areas in curbing unsustainable resource consumption is essential for determining best management strategies and allocating limited resources to those projects most likely to succeed. I used a law-enforcement and monitoring game-theory model from the political science literature to identify three key variables useful in predicting the success of a protected area: costs of monitoring for rule breakers, benefits of catching a rule breaker, and probability of catching a rule breaker if monitoring. Although assigning exact values for each of these variables was difficult, the variables had a strong predictive capacity even when coded as coarse ordinal values. A model in which such values were used correctly predicted the outcome of 88 of 116 protected areas sampled from the peer-reviewed literature. The model identified a critical zone of common mismatch between protected-area circumstances and management policies. In situations where the costs of monitoring were greater than the product of the probability of catching a rule breaker and the benefit of doing so, conservation was unlikely to succeed. Control of illegal use of protected resources was reported in only 8% of such cases, regardless of strategies to motivate potential users to cooperate with conservation. My model does not prescribe a best management policy for conserving natural resources; rather, it can be used as a tool to help predict whether a proposed management policy will likely succeed in a given situation. | en_US |
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dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Blackwell Publishing Inc | en_US |
dc.rights | ©2009, Society for Conservation Biology | en_US |
dc.subject.other | Community-based Conservation | en_US |
dc.subject.other | Game Theory | en_US |
dc.subject.other | Monitoring | en_US |
dc.subject.other | National Parks | en_US |
dc.subject.other | Protected Areas | en_US |
dc.subject.other | Rule Enforcement | en_US |
dc.subject.other | AplicaciÓN De Reglas | en_US |
dc.subject.other | ÁReas Protegidas | en_US |
dc.subject.other | ConservaciÓN Basada En Comunidades | en_US |
dc.subject.other | Monitoreo | en_US |
dc.subject.other | Parques Nacionales | en_US |
dc.subject.other | TeorÍA De Juegos | en_US |
dc.title | Protected-Area Monitoring Dilemmas: a New Tool to Assess Success | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Ecology and Evolutionary Biology | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | † University of Michigan School of Natural Resources & Environment, Dana Building, 440 Church Street, Ann Arbor, MI 48109-1041, U.S.A., email klwalker@umich.edu | en_US |
dc.identifier.pmid | 19765040 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/73781/1/COBI_1203_sm_AppendixS2.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/73781/2/COBI_1203_sm_AppendixS1.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/73781/3/j.1523-1739.2009.01203.x.pdf | |
dc.identifier.doi | 10.1111/j.1523-1739.2009.01203.x | en_US |
dc.identifier.source | Conservation Biology | en_US |
dc.identifier.citedreference | Agrawal, A., and A. Chhatre. 2006. Explaining success on the commons: community forest governance in the Indian Himalaya. World Development 34: 149 – 166. | en_US |
dc.identifier.citedreference | Agrawal, A., and C. C. Gibson. 2001. The role of community in natural resource conservation. 1 – 31 in A. Agrawal and C. C. Gibson, editors. Communities and the environment: ethnicity, gender, and the State in community-based conservation. Rutgers University Press, New Brunswick, New Jersey. | en_US |
dc.identifier.citedreference | Agrawal, A., and S. Goyal. 2001. Group size and collective action: third-party monitoring in common-pool resources. Comparative Political Studies 34: 63 – 93. | en_US |
dc.identifier.citedreference | Berkes, F. 2006. From community-based resource management to complex systems: the scale issue and marine commons. Ecology and Society 11: http://www.ecologyandsociety.org/vol11/iss1/art45/. | en_US |
dc.identifier.citedreference | Berkes, F., J. Colding, and C. Folke. 2003. Navigating social-ecological systems. Cambridge University Press, Cambridge, United Kingdom. | en_US |
dc.identifier.citedreference | Borgerhoff Mulder, M. 2007. Interdisciplinary collaboration: painting a brighter picture and identifying the real problem. Conservation Biology 21: 903 – 904. | en_US |
dc.identifier.citedreference | Boyd, R., and P. J. Richerson. 1992. Punishment allows the evolution of cooperation (or anything else) in sizable groups. Ethology and Sociobiology 13: 171 – 195. | en_US |
dc.identifier.citedreference | Brooks, J. S., M. A. Franzen, C. M. Holmes, M. N. Grote, and M. B. Mulder. 2006. Testing hypotheses for the success of different conservation strategies. Conservation Biology 20: 1528 – 1538. | en_US |
dc.identifier.citedreference | Bruner, A. G., R. E. Gullison, R. E. Rice, and G. Fonseca. 2001. Effectiveness of parks in protecting tropical biodiversity. Science 291: 125 – 128. | en_US |
dc.identifier.citedreference | Chhatre, A., and A. Agrawal. 2008. Forest commons and local enforcement. Proceedings of the National Academy of Sciences 105: 13286 – 13291. | en_US |
dc.identifier.citedreference | Costanza, R., and M. Ruth. 2001. Dynamic systems modeling. Pages 21 – 29 in R. Costanza, B. S. Low, E. Ostrom, and J. A. Wilson, editors. Institutions, ecosystems, and sustainability. Lewis Publishers, Boca Raton, Florida. | en_US |
dc.identifier.citedreference | Dobson, A., and L. Lynes. 2008. How does poaching affect the size of national parks? Trends in Ecology & Evolution 23: 177 – 180. | en_US |
dc.identifier.citedreference | Ferraro, P. J., and S. K. Pattanayak. 2006. Money for nothing? A call for empirical evaluation of biodiversity conservation investments. Public Library of Science Biology 4: 482 – 488. | en_US |
dc.identifier.citedreference | Gibson, C. C., J. T. Williams, and E. Ostrom. 2005. Local enforcement and better forests. World Development 33: 273 – 284. | en_US |
dc.identifier.citedreference | Hayes, T., and E. Ostrom. 2005. Conserving the world's forests: are protected areas the only way? Indiana Law Review 38: 595 – 617. | en_US |
dc.identifier.citedreference | Hayes, T. M. 2006. Parks, people, and forest protection: an institutional assessment of the effectiveness of protected areas. World Development 34: 2064 – 2075. | en_US |
dc.identifier.citedreference | Hockings, M. 2003. Systems for assessing the effectiveness of management in protected areas. Bioscience 53: 823 – 832. | en_US |
dc.identifier.citedreference | Holler, M. J. 1991. Fighting pollution when decisions are strategic. Public Choice 76: 347 – 356. | en_US |
dc.identifier.citedreference | James, A., K. J. Gaston, and A. Balmford. 2001. Can we afford to conserve biodiversity? BioScience 51: 43 – 52. | en_US |
dc.identifier.citedreference | Kiyonari, T., and P. Barclay. 2008. Cooperation in social dilemmas: free riding may be thwarted by second-order reward rather than by punishment. Journal of Personality and Social Psychology 95: 826 – 842. | en_US |
dc.identifier.citedreference | Leader-Williams, N., and E. J. Milner-Gulland. 1993. Policies for the enforcement of wildlife Laws: the balance between detection and penalties in Luangwa Valley, Zambia. Conservation Biology 7: 611 – 619. | en_US |
dc.identifier.citedreference | Mesterton-Gibbons, M., and E. J. Milner-Gulland. 1998. On the strategic stability of monitoring: implications for cooperative wildlife management programmes in Africa. Proceedings: Biological Sciences 265: 1237 – 1244. | en_US |
dc.identifier.citedreference | Molnar, A., S. J. Scherr, and A. Khare. 2004. Who conserves the world's forests? Community-driven strategies to protect forests and respect rights. Forest Trends, Washington, D.C. | en_US |
dc.identifier.citedreference | Nagendra, H. 2008. Do parks work? Impact of protected areas on land cover clearing. Ambio 37: 330 – 336. | en_US |
dc.identifier.citedreference | Naidoo, R., A. Balmford, P. J. Ferraro, S. Polasky, T. H. Ricketts, and M. Rouget. 2006. Integrating economic costs into conservation planning. Trends in Ecology & Evolution 21: 681 – 687. | en_US |
dc.identifier.citedreference | Oliver, P. 1980. Rewards and punishments as selective incentives for collective action: theoretical investigations. American Journal of Sociology 85: 1356 – 1375. | en_US |
dc.identifier.citedreference | Ostrom, E. 2007. A diagnostic approach for going beyond panaceas. Proceedings of the National Academy of Sciences 104: 15181 – 15187. | en_US |
dc.identifier.citedreference | Ostrom, E., R. Gardner, and J. Walker 1994. Rules, games, & common-pool resources. University of Michigan Press, Ann Arbor, Michigan. | en_US |
dc.identifier.citedreference | Ostrom, E., and H. Nagendra. 2006. Insights on linking forests, trees, and people from the air, on the ground, and in the laboratory. Proceedings of the National Academy of Sciences 103: 19224 – 19231. | en_US |
dc.identifier.citedreference | Stern, P. C., T. Dietz, N. Dolsak, E. Ostrom, and S. Stonich. 2002. Knowledge and questions after 15 years of research. Pages 445 – 486 in E. Ostrom, T. Dietz, N. Dolsak, P. C. Stern, S. Stonich, and E. U. Weber, editors. The drama of the commons. National Academy Press, Washington, D.C. | en_US |
dc.identifier.citedreference | Tsebelis, G. 1989. The abuse of probability in political analysis: the Robinson Crusoe fallacy. The American Political Science Review 83: 77 – 91. | en_US |
dc.identifier.citedreference | Weissing, F. J., and E. Ostrom. 2000. Irrigation institutions and the games irrigators play: rule enforcement on government-and-farmer-managed systems. Pages 366 – 398 in M. D. McGinnis, editor. Polycentric Games and Institutions. University of Michigan Press, Ann Arbor, Michigan. | en_US |
dc.identifier.citedreference | WWF (World Wildlife Fund). 2004. Are protected areas working? An analysis of forest protected areas by WWF. WWF International, Switzerland. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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